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Need to be able to drag/drop materials or something to give it better direction. As of right now this program is only a very very early on concept and even then I haven't wanted to present it to clients that have a semblance of what they are wanting.
At the current stage of the AI Rendering Program, it detects materials based on the materials assigned in the 3D modeling software you use, as well as the prompts you write. Its ability to create realistic images in such a short time makes it a very useful tool for generating ideas during the design phase. As AI continues to develop, I am sure the quality and consistency of the renders will steadily improve. So, don't forget to stay tuned.
@@tech.architect it detecting materials based on assigned in 2D modeling is where I don't think that's true. It has a limited understanding but it's not actually reading that revit data from the plugin. If you have multiple materials on a building (which is common) you prompt each of those materials and it might get half of the walls with the correct material and the other half is assigned wrong despite the material in revit being vertical board & batten vs horizontal lap siding. The only thing it's currently detecting from the 3d model/image is the geometry, everything else it decides on where to put different materials and you need to pray to the RNG gods it randomly gets it right.
Thank you for your detailed feedback. You are correct that the current AI rendering program may have limitations in accurately detecting and applying materials based on the data from Revit or other 3D modeling software. As you mentioned, the AI primarily uses the geometry and relies on prompts for material assignment, which can lead to inconsistencies, especially with complex models. We are still in the early stages of this technology, and there is room for improvement. Your input is invaluable as it highlights areas that need further development. The goal is to refine the AI so that it can better interpret and apply materials directly from the modeling software, reducing the reliance on random assignment and improving accuracy. In the meantime, I recommend providing detailed prompts and making manual adjustments where necessary to achieve the desired results. As the technology evolves, we can expect more reliable and sophisticated rendering capabilities. Thank you for being a part of this journey. Stay tuned for updates and improvements, and feel free to share more insights or suggestions!
